Z. Hunter

Physicist · Independent Researcher · Founder, Ontologic Labs

Researching causality, time, computation and intelligent systems.

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About Myself

0009-0005-6700-6559

Call me Z. I'm a physicist (in)by training, independent researcher, research engineer & founder @ Ontologic Labs. Projects under Ontologic include latexify.ai. My work is driven by a fascination in how observers, time, and histories constrain what is possible.

I ponder on Artificial Superintelligence, Time & Causality and Observers & Memory. I am cooking across all these topics — follow Ontologic down the rabbit hole if you want to come along.

Research

How observers, time, and histories constrain what is possible — and what can be computed, predicted, and known.

2026

MOASS with Time Travel

Coming very soon

Title withheld

Coming soon

Title withheld

Coming soon

Other research under stealth

Research is currently self-funded. Support the research.

Ontologic

Association and intervention Observed events point at an outcome by association. An intervention, do of x, points at the same outcome by a different arrow. observed do(x) outcome association what if
do-calculus, in one picture: observed, and what an intervention would do.

I founded Ontologic Labs to build Ontologic Intelligence. Shifting AI away from association and towards causal modeling, building the reasoning layer for decision-grade AI in high-stakes environments.

Decisions stay auditable, uncertainty is first-class, and a "what if" could make all the difference.

I'm looking for companions: investors, researchers, builders and operators who value clarity and ownership. If you're interested, email me.

If you want to work on latexify.ai, or on Ontologic directly, write me.

If you want to follow Ontologic, and know what's coming, join the list.

Visit Ontologic →
  1. 2027

    The year we to be revealed

  2. COMING SOON: SXFTWARE, HXRDWARE, AND BEYOND

  3. 2026

    THE YEAR WE DID IT ANYWAY

    Active Research & Development

  4. ?

  5. Causal Intelligence

    Causal models that move beyond pattern matching—memory architectures and cycle-aware reasoning for inference under structural ambiguity.

  6. Engineering Value

    Engineering that uses LLMs for exponential productivity—turning capability into leverage, and leverage into shipped commercial solutions that scale. Released latexify.ai and (soon) VoicePrompt.

  7. Observers & Memory

    Studying how observers, memory, and temporal ordering constrain fundamental theories across quantum foundations, cognitive science, and computer science. Investigating how the consistency of records defines what can be computed, predicted, and ultimately known.

  8. 2025

    The year we hit the target, smug, then camped, arrow to the left

  9. Provisional patent application

    Systems and Methods for Cycle-Aware Causal Graph Reasoning

  10. 2019–2024

  11. BSc in physics at the University of Southampton. Astrophysics research A&A. Worked in software engineering. Master's in mathematical physics at U. of Granada and physics at U. of Barcelona.

"I can predict the motion of the Astra, but not the madness of men."

Attributed to Sir Isaac Newton